Applied Machine Learning & Data Science
Build predictive models using Scikit-Learn, TensorFlow, and Python.
Transition from analysis to prediction. Build real-world machine learning models.
Who This Course Is For
- Data Analysts
- Aspiring Data Scientists
What You'll Learn
- Supervised vs Unsupervised Learning.
- Feature engineering and selection.
- Model evaluation and tuning.
- Deploying models to production.
Course Outline
Module 1: ML Fundamentals
Module 2: Supervised Learning Algorithms
Module 3: Unsupervised Learning
Module 4: Deep Learning Basics
Module 5: Model Deployment
Starting from
$150.00/month
💡 Monthly Subscription • Flexible Scheduling
Duration: 16 Weeks
Level: Advanced
Instructor: Expert Instructor
What's Included:
- Lifetime access to course materials
- Certificate of completion
- Direct access to instructor
- Downloadable resources
- Mobile and desktop access
30-day money-back guarantee
Course Materials
Login and enroll (or be assigned) to access downloadable materials.
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Use one student account for courses and mentorships. If you start with mentorship, this same account will be upgraded when you enroll in a full course.